INDEPENDENT OR DEPENDENT ARE IN THE DROP DOWN BOXES.
Coefficient of multiple determination r2 = 0.3043
In percentage: 0.3043 * 100% = 30.43%
The coefficient of multiple determination indicates that 30.43% of the variation in the dependent variable can be explained by the variation in the independent variables.
INDEPENDENT OR DEPENDENT ARE IN THE DROP DOWN BOXES. Degrees of Sum of The ANOVA summary...
The ANOVA summary table to the right is for a multiple regression model with five independent variables. Complete parts (a) through (e). Source Degrees of Freedom Sum of Squares Regression 5 270 Error 28 110 Total 33 380 a. Determine the regression mean square (MSR) and the mean square error (MSE). b. Compute the overall FSTAT test statistic. FSTAT=_______________________ (Round to four decimal places as needed.) c. Determine whether there is a significant relationship between Y and the two independent...
The ANOVA summary table to the right is for a multiple regression model with five independent variables. Complete parts (a) through (e). Source Degrees of Freedom Sum of Squares Regression 5 270 Error 28 110 Total 33 380 a. Determine the regression mean square (MSR) and the mean square error (MSE). b. Compute the overall FSTAT test statistic. FSTAT=_______________________ (Round to four decimal places as needed.) c. Determine whether there is a significant relationship between Y and the two independent...
Drop down options are durability, impact properties, shock absorbing capabilities, the two independent variables. A regression analysis is performed to predict the durability of a brand of running shoe, based on the shock-absorbing capability and the change in impact properties over time. The resulting ANOVA table is below. Complete parts (a) through (d). Degrees of Sum of Freedom Squares Regression Error Total 10.45577 6.46314 16.91891 Mean Square 5.22789 0.28101 p-value 0.00002 18.60 2 23 25 a. Determine whether there is...
A multiple linear regression model based on a sample of 30 weeks is developed to predict standby hours based on the total staff present and remote hours. The SSR is 24672.31and the SSE is 32019.36. Complete parts (a) through (d) below. a. Determine whether there is a significant relationship between standby hours and the two independent variables (total staff present and remote hours) at the 0.05 level of significance. What are the correct hypotheses to test? H0:________________ H1: ________________ Calculate...
The ANOVA summary table to the right is for a multiple regression model with nine independent variables. Complete parts (a) through (e) Degrees of Source Freedom Squares Sum of Regression Error Total 260 180 440 19 28 5909 (Round to four decimal places as needed.) Interpret the meaning of the coefficient of multiple determination The coefficient of multiple determination indicates that 59.09% of the variation in the dependent variable can be explained by the variation in the independent variables e....
16 pts This Test: 120 pt parts (a) through (e). Degrees of Sum of otal MSR-□(Round to four decimal places as needed) MSE-□(Round tofour decimal places as needed ) STAT-(Round to two decimal places as neesed) c. Determine whether there is a significant relatonship between Y and the nine independent variabies at the 006 level of significance State the null and atemative hypotheses. Choose the correct hypotheses below H,: At least one B40, for j- 1,2 The p-value is (Round...
*ANSWERS IN BOX ARE INCORRECT* Consider the following ANOVA table for a multiple regression model. Complete parts a through e below. Source Regression 3 3,600 1200 20 Residual 35 2,100 60 Total df SSMSF 38 5,700 a. What is the size of this sample? n41 b. How many independent variables are in this model? c. Calculate the multiple coefficient of determination. R0.5882 Round to four decimal places as needed.) d. Test the significance of the overall regression model using α=0.05...
A researcher would like to predict the dependent variable YY from the two independent variables X1X1 and X2X2 for a sample of N=20N=20 subjects. Use multiple linear regression to calculate the coefficient of multiple determination and test the significance of the overall regression model. Use a significance level α=0.01α=0.01. X1X1 X2X2 YY 23.5 33.6 50.2 8.7 31.6 53.7 24.3 43 43 16.7 24.6 83.6 34.2 39.1 45 52.2 30 55.4 32.7 41.8 34.2 24.8 20.6 71.7 31.8 44.1 51.3 46.7...
The correlation coefficient is a summary measure that Select one: a. is of limited use because it fails to indicate the direction of the relationship between the variables. b. indicates the change in Y for a one unit change in X. c. indicates the strength of linear relationship between a pair of quantitative variables. d. indicates the proportion of variation in Y that is explained by the variation in X. e. none of the above. In regression analysis, the F...
Bighorn sheep are beautiful wild animals found throughout the western United States. Let x be the age of a bighorn sheep (in years), and let y be the mortality rate (percent that die) for this age group. For example, x = 1, y = 14 means that 14% of the bighorn sheep between 1 and 2 years old died. A random sample of Arizona bighorn sheep gave the following information: x 1 2 3 4 5 y 15.8 19.3 14.4...